Best larger-system route
Studio 96
The smallest system in the range that reaches this model's preferred working allowance.
Explore Studio 96Tencent model
Hunyuan3D 2.1 Hardware Requirements & Fit
The repository's model files total about 14.9GB, but the complete shape-and-texture pipeline uses several components. Team 32 may suit a pilot; 96GB provides more room for texture, higher-resolution assets and companion tools.
- Model version
tencent/Hunyuan3D-2.1- Family and variant
- Hunyuan3D 2.1 · Hunyuan3D-2.1
- Source version
0b94677654c5- Source updated
- 17 October 2025
Tencent Hunyuan3D 2.1
tencent/Hunyuan3D-2.1 - Minimum GPU memory
- 24GB single-GPU planning floor
- Recommended hardware
- 48GB or more for the combined shape and texture workflow
- Licence
- Tencent Hunyuan Community Licence
- Useful for
- 3D generation
Buyer verdict
Where Hunyuan3D 2.1 is a sensible fit
Hunyuan3D 2.1 is relevant for concept assets, product visualisation experiments and 3D-content pipelines where generated geometry and textures will be reviewed and refined by people.
These figures apply to the named model version. Quantisation, fine-tuning, context length, image resolution, batch size and serving software can materially change the hardware needed.
Hardware requirements
- Minimum
- 24GB single-GPU planning floor
- Recommended
- 48GB or more for the combined shape and texture workflow
The figure allows for the repository components but is not an official peak-VRAM result.
Higher texture resolution and companion applications can justify 96GB.
Technical specification
Hunyuan3D 2.1 model and hardware facts
Specifications shown for source version
0b94677654c57bb9a6b6845cd7b704ccf551d327, updated
17 October 2025.
- Task
- Image-to-3D shape + texture
- Repository model files
- About 14.91GB
- Pipeline
- Hunyuan3D shape and paint stages
- Output
- 3D asset for downstream review
- Runtime
- PyTorch reference pipeline
- Licence
- Tencent Hunyuan Community
Product compatibility
Hunyuan3D 2.1 compatibility across all 11 GPU systems
- Systems that fit without model splitting
- 11
- Systems needing multi-GPU validation
- 0
A system is listed as fitting when its GPU memory meets the requirement shown above. Speed, usable context, batch size and concurrent users still need testing with the final model and software configuration.
sme workstation
Team 32
- Per GPU
- 32GB
- Total GPU memory
- 32GB
- GPU count
- 1
Meets the lower memory screen, but not the recommended working allowance.
Available GPU memory clears the lower 24GB single-GPU planning floor screen but not the 48GB or more for the combined shape and texture workflow working allowance. It may load, but choose a larger system when context, batch, concurrency or response time matter.
sme workstation
Company 64
- Per GPU
- 32GB
- Total GPU memory
- 64GB
- GPU count
- 2
Meets the lower memory screen, but not the recommended working allowance.
Available GPU memory clears the lower 24GB single-GPU planning floor screen but not the 48GB or more for the combined shape and texture workflow working allowance. It may load, but choose a larger system when context, batch, concurrency or response time matter.
sme workstation
Studio 96
- Per GPU
- 96GB
- Total GPU memory
- 96GB
- GPU count
- 1
Also meets this model page's recommended working allowance.
Available GPU memory exceeds the calculated or estimated requirement. Confirm the final precision, software, workload and performance before purchase.
sme workstation
Studio 192
- Per GPU
- 96GB
- Total GPU memory
- 192GB
- GPU count
- 2
Also meets this model page's recommended working allowance.
Available GPU memory exceeds the calculated or estimated requirement. Confirm the final precision, software, workload and performance before purchase.
pcie rack
Value Rack 128
- Per GPU
- 32GB
- Total GPU memory
- 128GB
- GPU count
- 4
Meets the lower memory screen, but not the recommended working allowance.
Available GPU memory clears the lower 24GB single-GPU planning floor screen but not the 48GB or more for the combined shape and texture workflow working allowance. It may load, but choose a larger system when context, batch, concurrency or response time matter.
pcie rack
Value Rack 256
- Per GPU
- 32GB
- Total GPU memory
- 256GB
- GPU count
- 8
Meets the lower memory screen, but not the recommended working allowance.
Available GPU memory clears the lower 24GB single-GPU planning floor screen but not the 48GB or more for the combined shape and texture workflow working allowance. It may load, but choose a larger system when context, batch, concurrency or response time matter.
pcie rack
Enterprise 384
- Per GPU
- 96GB
- Total GPU memory
- 384GB
- GPU count
- 4
Also meets this model page's recommended working allowance.
Available GPU memory exceeds the calculated or estimated requirement. Confirm the final precision, software, workload and performance before purchase.
pcie rack
Enterprise 768
- Per GPU
- 96GB
- Total GPU memory
- 768GB
- GPU count
- 8
Also meets this model page's recommended working allowance.
Available GPU memory exceeds the calculated or estimated requirement. Confirm the final precision, software, workload and performance before purchase.
pcie rack
H200 1.1TB
- Per GPU
- 141GB
- Total GPU memory
- 1,128GB
- GPU count
- 8
Also meets this model page's recommended working allowance.
Available GPU memory exceeds the calculated or estimated requirement. Confirm the final precision, software, workload and performance before purchase.
frontier partner
Frontier Native 2.3TB
- Per GPU
- 288GB
- Total GPU memory
- 2,304GB
- GPU count
- 8
Also meets this model page's recommended working allowance.
Available GPU memory exceeds the calculated or estimated requirement. Confirm the final precision, software, workload and performance before purchase.
frontier partner
Frontier Rack 20TB
- Per GPU
- 288GB
- Total GPU memory
- 20,736GB
- GPU count
- 72
Also meets this model page's recommended working allowance.
Available GPU memory exceeds the calculated or estimated requirement. Confirm the final precision, software, workload and performance before purchase.
Deployment reality
Strengths, limits and runtime route
What it is good at
- Separate shape and texture stages make the pipeline easier to evaluate.
- Official local repository and weights.
- Image-to-3D workflow rather than only text-to-image output.
- Potential fit on a single workstation GPU.
Where to be cautious
- Repository file size is not a complete peak-memory measurement.
- Topology, geometry quality, UVs, texture seams and material accuracy need task-specific review.
- Generated 3D assets may require clean-up before production use.
- Tencent's model-specific licence must be checked for the intended commercial workflow.
Serving software
- Hunyuan3D reference pipeline
- ComfyUI after node review
- Blender for downstream work
Before installation
- Benchmark shape and texture stages separately.
- Record input resolution, mesh complexity, texture resolution, latency and peak VRAM.
- Include Blender or the target DCC application's clean-up time in acceptance.
- Treat rendering performance as a separate workload from model inference.
System requirements
- GPU layout
- The minimum can fit on one GPU; multiple GPUs may still be useful for replicas or throughput.
- Context and cache
- The model context ceiling is not a guaranteed serving target. KV cache, batch size and concurrent sessions need separate capacity tests.
- System RAM
- Size system memory for model loading, runtime overhead, preprocessing and any CPU offload used by the final configuration.
- Storage
- Allow space for the pinned checkpoint, runtime images, caches, logs and at least one rollback version.
- Serving software
- Validate the exact checkpoint with Hunyuan3D reference pipeline, ComfyUI after node review, Blender for downstream work before acceptance.
- Representative workload
- Benchmark representative prompts or media at the required context, quality, latency and concurrency.
Performance: speed, usable context and concurrency depend on the selected system, software and workload. No benchmark is quoted on this page.
Commercial and legal boundary
Tencent Hunyuan Community Licence
Commercial use: conditional
Review the current model-specific licence and intended distribution of generated assets.
Always retain the applicable notices and recheck the live terms for the intended organisation, territory, use and distribution route. Obtain legal advice where required; the official licence governs use.
Read the official licenceTechnical questions
Hunyuan3D 2.1 deployment FAQ
Can Team 32 run Hunyuan3D 2.1?
It may suit a 32GB pilot based on repository size, but peak VRAM for the exact shape and texture workflow must be measured.
Does Hunyuan3D replace Blender?
No. Generated assets commonly need inspection, clean-up, materials, rigging or scene integration in a DCC application.
How should 3D output be benchmarked?
Record input, mesh and texture settings, latency, peak VRAM, topology quality, texture defects and downstream correction time.
What a complete Hunyuan3D 2.1 deployment needs
GPU memory is only one part of the system. Storage, data access, serving software, monitoring and administrator handover also affect a reliable deployment.
